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This study investigates the impacts of green space and air quality on crime rates for Organisation for Economic Co-operation and Development (OECD) countries over the 2003–2017 period.

By building an international data set, including both green space and air pollution at the same time in the model, and considering the potential endogeneities between variables, the study brings some novelties to the existing literature. Using the United Nations Crime Trends Survey and World Development Indicators databases, a panel data set of 37 OECD countries for 2003–2017 period was collected. To avoid the potential endogenous relationships between variables, the system-Generalized Method of Moments (system-GMM) method was applied.

The findings suggest that increases in green space reduce the crime rate, while increases in air pollution raise it. Additionally, the estimated control variables show that there are many statistically significant factors that determine the crime rate. In all the additional models, the effects of green space and air pollution were estimated consistently, which can be taken as a sign that the findings are robust.

The evidence of the study explicitly reveals that environmentally friendly policies provide benefits in terms of reducing crime rates as well as other known benefits. On the other hand, to represent the environmental dimension, this is the first study which uses a cross-country data set including both green space and air pollution in the model at the same time. Second, the issue has not been previously dealt with for OECD countries. Thirdly, the study considered the potential endogeneity between variables, and to check the robustness of the findings, some prominent factors affecting the crime rate were used as control variables.

Adhesively bonded joints are used in many fields, especially in the automotive, marine, aviation, defense and outdoor industries. Adhesive bonding offers advantages over traditional mechanical methods, including the ability to join diverse materials, even load distribution and efficient thermal-electrical insulation. This study aims to investigate the mechanical properties of adhesively bonded joints, focusing on adherends produced with auxetic and flat surfaces adhered with varying adhesive thicknesses.

The research uses three-dimensional (3D)-printed materials, polyethylene terephthalate glycol and polylactic acid, and two adhesive types with ductile and brittle properties for single lap joints, analyzing their mechanical performance through tensile testing. The adhesion region of one of these adherends was formed with a flat surface and the other with an auxetic surface. Adhesively bonded joints were produced with 0.2, 0.3 and 0.4 mm bonding thickness.

Results reveal that auxetic adherends exhibit higher strength compared to flat surfaces. Interestingly, the strength of ductile adhesives in auxetic bonded joints increases with adhesive thickness, while brittle adhesive strength decreases with thicker auxetic bonds. Moreover, the auxetic structure displays reduced elongation under comparable force.

The findings emphasize the intricate interplay between adhesive type, bonded surface configuration of adherend and bonding thickness, crucial for understanding the mechanical behavior of adhesively bonded joints in the context of 3D-printed materials.

The purpose of this paper is to analyze the effect of printing parameters on the mechanical properties of standard dog bone specimens manufactured by fused deposition modeling.

Polylactic acid (PLA) specimens were printed and tested according to the ASTM standard. The effect of five important printing parameters, layer height, raster angle, printing speed, nozzle temperature and nozzle diameter, was examined on ultimate tensile strength (UTS), elongation and apparent density. Five levels were attended for each parameter, and a high number of required experiments were reduced by applying the L₂₅ Taguchi design of the experiment.

The effect of each parameter on outputs and optimal values for maximum tensile strength were determined. The most influential parameter is the raster angle of 64.96%. Nozzle temperature has a low effect of 1.76%, but nozzle diameter contribution is 9.77%. The experiment results are validated by analysis of variance analysis, and the optimal predicted level for parameters is 90° raster angle, 0.2 mm layer height, 100 mm/s printing speed, 200°C nozzle temperature and 0.8 mm nozzle diameter. The maximum UTS observed is 48.70 MPa for 0.8 mm nozzle diameter, whereas the minimum is 18.49 for 0.2 mm nozzle diameter.

This paper is a very extensive experimental research report on the effect of the parameters for the tensile property of 3D printed PLA specimens by the Taguchi method. The documented results can be further developed for an optimization model to obtain a desired mechanical property with less variation and uncertainty in a product.

This study investigates the relationship between feelings of loneliness in the workplace, life satisfaction, affect, hope and expressivity among hotel employees.

The research model was tested via structural equation modeling based on the empirical data collected from hotel employees in Antalya, Turkey.

The research findings suggest that emotional deprivation and social companionship have a significant impact on life satisfaction, that life satisfaction has a significant impact on positive and negative emotions, and that positive and negative emotions have the same impact on pathways and agencies.

The research findings should assist researchers and practitioners to understand the behaviors of hotel employees in continuous interaction and relationship with individuals to motivate them while providing more effective services.

Based on the theory of performance feedback, this study aims to explore the theoretical relationship between performance shortfalls and the financialization of non-financial enterprises. It further analyzes the moderating effect of economic policy uncertainty (EPU) and organizational redundant resources.

Multiple regression analysis is used on 16,555 initial samples of 2,658 Chinese A-share issuing enterprises from 2007 to 2019 to empirically test the relationship between performance shortfalls and the financialization of non-financial enterprises, and an instrumental variables-generalized moments estimation model is also used to verify the robustness of the results.

The results reveal that the greater the performance gap below the aspiration level, the higher the degree of enterprise financialization. Moreover, EPU strengthens the relationship between performance shortfalls and financialization, whereas organizational redundant resources weaken the relationship between performance shortfalls and financialization.

Decision-makers should determine the aspirated performance level of enterprises to make investment decisions that are most conducive to the long-term development of enterprises. Each enterprise should establish scientific management evaluation and supervision systems to avoid financial investment behaviors that place too much emphasis on short-term performance.

This study finds that financialization is one of the reactions when performance of enterprises is lower than the aspiration level, thus expanding the functional dimensions of performance feedback and supplementing the research on the influencing factors of enterprise financialization. The results also reveal information about situational factors, helping identify the boundary conditions through which performance below aspirations affects enterprise financialization.

In this study, the effects of negative tourism impacts, length of residency and nativity on support for tourism development were examined.

Because understanding the attitudes of local people toward tourism support is complex, this study employed both symmetric (PLS-SEM) and asymmetric (fsQCA) approaches from a holistic perspective. A total of 336 individuals from Cappadocia, one of Turkey's most prominent tourist destinations, were surveyed.

According to the symmetric method results, respondents' negative perceptions of tourism negatively affect attitudes toward tourism support. Native-born status acts as a moderating variable in the relationship between attitudes toward tourism support and the negative economic impacts of tourism. On the other hand, this study shows that the complex interactions of nativity and the negative impacts of tourism directly affect local people's attitudes toward tourism support.

This study revealed that practitioners should adopt a comprehensive perspective to understand the attitudes of local people toward tourism support.

This study, in addition to the findings obtained via the symmetric method, reveals the complex interaction of the negative impacts of tourism, thus providing a roadmap to improve local people's attitudes toward tourism support by using asymmetric modeling.

The purpose of this study is to empirically explore how firms configure centrifugal and centripetal forces in promoting breakthrough innovation (BI), thus improving their strategic performance (SP) in the artificial intelligence (AI) context.

This study applies the centrifugal and centripetal forces model to a survey sample of 285 Chinese AI firms. Fuzzy-set qualitative comparative analysis (fsQCA) and propensity score matching (PSM) are integrated to explore the configurational effects of three centrifugal forces—the autonomy of technical experts, knowledge search and alliance network—and two centripetal forces—strictness of organisational institutions (SOI) and human–human–AI collaboration (HHAC)—on BI, examining whether the configurations that enhance BI can further improve SP.

The results indicate that the strictness of innovation institutions (SII) and strictness of ethical institutions (SEI) are equally important for determining SOI. Three configurations can improve BI when SOI and HHAC are the core conditions; only one of three configurations can further improve SP significantly.

By introducing SOI composed of equally important levels of SII and SEI and HHAC, this research is one of the few empirical studies to explore the mechanisms behind the impact of centrifugal and centripetal forces on BI and SP, which may help researchers and managers address innovation challenges in the AI context.

The purpose of this study is to investigate the impact of person-organization (PO) fit on work engagement (WE). The paper also explores the relationships among WE, organization citizenship behavior-individual (OCBI) and organization citizenship behavior-organization (OCBO). Lastly, the study analyzes the mediating effect of WE between PO fit and OCBI/OCBO.

For this purpose, a questionnaire has been designed and survey data has been collected from 280 frontline employees of private banks in Pakistan. The partial least squares–structural equation modeling (PLS-SEM) technique has been employed to analyze the data and for testing the study hypotheses.

Findings show the positive relationship of PO fit with WE, and the positive relationship of WE with OCBI/OCBO. It is also seen that WE mediate the relationship between PO fit and OCBI/OCBO.

No prior study tests the mediation of WE between PO fit and OCBI/OCBO. Further, organization citizenship behavior (OCB) has mostly been studied as a single construct; however, the current study discussed the individual and organizational aspects of OCB with PO fit and WE.